Build a tool to detect outdated applications with Amazon Bedrock

"I would like you to create a notification system that crawls CloudWatch logs and looks for out of date modules or applications then creates an alerting system that sends an administrator an email or SMS"

"I would like to you refine this so that it leverages bedrock to check whether an application is out of date and also give a detailed human readable explanation how to resolve this"

"Please add sample inputs and outputs"

"Create a diagram of the flow for this system"

+-------------------+
|  CloudWatch Logs  |
|  (Application     |
|   Log Groups)     |
+--------+----------+
         |
         | Log data
         v
+-------------------+
| CloudWatch Events |
| (Scheduled rule)  |
+--------+----------+
         |
         | Triggers periodically
         v
+-------------------+
|  Lambda Function  |
+--------+----------+
         |
         | 1. Fetch logs
         v
+-------------------+
|   Log Analysis    |
| (Pattern Matching)|
+--------+----------+
         |
         | 2. Detected outdated items
         v
+-------------------+
|  Amazon Bedrock   |
| (Claude AI Model) |
+--------+----------+
         |
         | 3. AI analysis and recommendations
         v
+-------------------+
|    SNS Topic      |
+--------+----------+
         |
         | 4. Notification
         v
+-------------------+
| Admin (Email/SMS) |
+-------------------+

"assume the role of an aws solutions architect, please write an introduction for the solution above, detailing the problem and why this solution will help aws customers"

def analyze_with_bedrock(items, bedrock_client):
    prompt = f"""
    Analyze the following log messages indicating outdated applications or modules:
    
    {json.dumps(items, indent=2)}
    
    For each item:
    1. Confirm if it's truly outdated or if it's a false positive.
    2. If outdated, explain why it's important to update.
    3. Provide detailed steps to resolve the issue, including potential risks and best practices.
    4. Suggest any additional checks or actions the admin should take.
    
    Format your response as a detailed report suitable for a system administrator.
    """
    
    body = json.dumps({
        "prompt": prompt,
        "max_tokens_to_sample": 2000,
        "temperature": 0.5,
        "top_p": 0.9,
    })
    
    response = bedrock_client.invoke_model(
        modelId="anthropic.claude-v2",
        contentType="application/json",
        accept="application/json",
        body=body
    )
    
    response_body = json.loads(response.get('body').read())
    return response_body.get('completion')

2023-11-15 10:23:45 [WARN] Outdated module detected: numpy version 1.19.5 is in use, but 1.26.0 is available.
2023-11-15 11:34:56 [ERROR] Version mismatch: Django 2.2.28 is no longer supported. Upgrade to 4.2 or higher recommended.
2023-11-15 14:45:12 [WARN] Update required: OpenSSL 1.1.1 will reach end-of-life soon. Upgrade to OpenSSL 3.0 advised.

Detailed Analysis of Outdated Applications and Modules

1. numpy version 1.19.5
   Status: Confirmed Outdated
   Importance: Medium
   
   The numpy library version 1.19.5 is outdated. The current version is 1.26.0. Updating is important because:
   - Newer versions often include performance improvements and bug fixes.
   - Some newer Python features or other library dependencies may require a more recent numpy version.
   
   Resolution Steps:
   1. Create a virtual environment for your project if not already using one.
   2. Update numpy using pip:
      pip install --upgrade numpy
   3. Test your application thoroughly after the update, as some function behaviors might have changed.
   4. Update any requirements.txt or setup.py files to reflect the new version.
   
   Additional Checks:
   - Review the numpy changelog to understand any breaking changes.
   - Check if other dependencies in your project rely on specific numpy versions.

2. Django 2.2.28
   Status: Confirmed Outdated
   Importance: High
   
   Django 2.2.28 is significantly outdated and no longer supported. This is a critical security risk.
   
   Resolution Steps:
   1. Back up your entire project, including the database.
   2. Review the Django upgrade guide for 3.x and 4.x versions.
   3. Update your Django version:
      pip install Django==4.2.7
   4. Run python manage.py makemigrations and python manage.py migrate
   5. Update your code to be compatible with Django 4.2, focusing on deprecated features.
   6. Run your test suite and fix any issues.
   7. Deploy in a staging environment before pushing to production.
   
   Additional Checks:
   - Ensure all your third-party Django apps are compatible with Django 4.2.
   - Review security settings and middleware configurations.
   - Update your deployment scripts or Docker configurations if applicable.

3. OpenSSL 1.1.1
   Status: Update Recommended
   Importance: High
   
   OpenSSL 1.1.1 will reach end-of-life on September 11, 2023. Upgrading to OpenSSL 3.0 is crucial for ongoing security support.
   
   Resolution Steps:
   1. Check your operating system's package manager for OpenSSL updates.
   2. For Ubuntu/Debian: sudo apt update && sudo apt upgrade openssl
   3. For CentOS/RHEL: sudo yum update openssl
   4. If compiling from source, download OpenSSL 3.0 from the official website and follow compilation instructions.
   5. After updating, restart any services that depend on OpenSSL (e.g., web servers, database servers).
   6. Update any applications that link against OpenSSL and recompile if necessary.
   
   Additional Checks:
   - Verify the new OpenSSL version: openssl version
   - Review your SSL/TLS configurations for any deprecated settings.
   - Test all SSL/TLS connections in your applications.
   - Update your security policies and documentation to reflect the new version.

General Recommendations:
1. Implement a regular update schedule for all dependencies and libraries.
2. Use tools like dependabot or renovate to automate dependency updates.
3. Maintain a test environment that mirrors production for safe testing of updates.
4. Keep an inventory of all software versions in use and their support lifecycles.
5. Subscribe to security mailing lists for critical components in your stack.

Please review these recommendations and proceed with updates cautiously, especially in production environments. Always test thoroughly in a staging environment before applying updates to production systems.

AWSTemplateFormatVersion: '2010-09-09'
Description: 'Intelligent Application Update Management System'

Parameters:
  LogGroupName:
    Type: String
    Description: 'Name of the CloudWatch Log Group to monitor'
  AdminEmail:
    Type: String
    Description: 'Email address for receiving notifications'

Resources:
  LambdaExecutionRole:
    Type: 'AWS::IAM::Role'
    Properties:
      AssumeRolePolicyDocument:
        Version: '2012-10-17'
        Statement:
          - Effect: Allow
            Principal:
              Service: lambda.amazonaws.com
            Action: 'sts:AssumeRole'
      ManagedPolicyArns:
        - 'arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole'
      Policies:
        - PolicyName: LambdaPolicy
          PolicyDocument:
            Version: '2012-10-17'
            Statement:
              - Effect: Allow
                Action:
                  - 'logs:FilterLogEvents'
                  - 'logs:DescribeLogGroups'
                Resource: !Sub 'arn:aws:logs:${AWS::Region}:${AWS::AccountId}:log-group:${LogGroupName}:*'
              - Effect: Allow
                Action:
                  - 'sns:Publish'
                Resource: !Ref SNSTopic
              - Effect: Allow
                Action:
                  - 'bedrock:InvokeModel'
                Resource: '*'

  LambdaFunction:
    Type: 'AWS::Lambda::Function'
    Properties:
      Handler: index.lambda_handler
      Role: !GetAtt LambdaExecutionRole.Arn
      Runtime: python3.9
      Timeout: 300
      MemorySize: 256
      Environment:
        Variables:
          LOG_GROUP_NAME: !Ref LogGroupName
          SNS_TOPIC_ARN: !Ref SNSTopic
      Code:
        ZipFile: |
          import boto3
          import json
          import os
          from datetime import datetime, timedelta

          def lambda_handler(event, context):
              logs_client = boto3.client('logs')
              sns_client = boto3.client('sns')
              bedrock_client = boto3.client('bedrock-runtime')
              
              log_group_name = os.environ['LOG_GROUP_NAME']
              sns_topic_arn = os.environ['SNS_TOPIC_ARN']
              time_period = 24
              
              start_time = int((datetime.now() - timedelta(hours=time_period)).timestamp() * 1000)
              end_time = int(datetime.now().timestamp() * 1000)
              
              patterns = [
                  'outdated module',
                  'version mismatch',
                  'update required'
              ]
              
              outdated_items = []
              for pattern in patterns:
                  response = logs_client.filter_log_events(
                      logGroupName=log_group_name,
                      startTime=start_time,
                      endTime=end_time,
                      filterPattern=pattern
                  )
                  
                  for event in response['events']:
                      outdated_items.append(event['message'])
              
              if outdated_items:
                  detailed_report = analyze_with_bedrock(outdated_items, bedrock_client)
                  
                  sns_client.publish(
                      TopicArn=sns_topic_arn,
                      Message=detailed_report,
                      Subject='Outdated Modules/Applications Alert with Resolution Steps'
                  )
              
              return {
                  'statusCode': 200,
                  'body': f'Processed {len(outdated_items)} outdated items'
              }

          def analyze_with_bedrock(items, bedrock_client):
              prompt = f"""
              Analyze the following log messages indicating outdated applications or modules:
              
              {json.dumps(items, indent=2)}
              
              For each item:
              1. Confirm if it's truly outdated or if it's a false positive.
              2. If outdated, explain why it's important to update.
              3. Provide detailed steps to resolve the issue, including potential risks and best practices.
              4. Suggest any additional checks or actions the admin should take.
              
              Format your response as a detailed report suitable for a system administrator.
              """
              
              body = json.dumps({
                  "prompt": prompt,
                  "max_tokens_to_sample": 2000,
                  "temperature": 0.5,
                  "top_p": 0.9,
              })
              
              response = bedrock_client.invoke_model(
                  modelId="anthropic.claude-v2",
                  contentType="application/json",
                  accept="application/json",
                  body=body
              )
              
              response_body = json.loads(response.get('body').read())
              return response_body.get('completion')

  CloudWatchEvent:
    Type: 'AWS::Events::Rule'
    Properties:
      Description: 'Schedule for running the Outdated Application Detection Lambda'
      ScheduleExpression: 'rate(1 day)'
      State: 'ENABLED'
      Targets:
        - Arn: !GetAtt LambdaFunction.Arn
          Id: 'TargetLambdaFunction'

  LambdaInvokePermission:
    Type: 'AWS::Lambda::Permission'
    Properties:
      FunctionName: !Ref LambdaFunction
      Action: 'lambda:InvokeFunction'
      Principal: 'events.amazonaws.com'
      SourceArn: !GetAtt CloudWatchEvent.Arn

  SNSTopic:
    Type: 'AWS::SNS::Topic'
    Properties:
      DisplayName: 'Outdated Application Alerts'

  SNSSubscription:
    Type: 'AWS::SNS::Subscription'
    Properties:
      TopicArn: !Ref SNSTopic
      Protocol: 'email'
      Endpoint: !Ref AdminEmail

Outputs:
  LambdaFunctionArn:
    Description: 'ARN of the Lambda Function'
    Value: !GetAtt LambdaFunction.Arn
  SNSTopicArn:
    Description: 'ARN of the SNS Topic'
    Value: !Ref SNSTopic